- Java Solution Architect Location-Onsite @Mc Lean, VA-Need Locals Only -No Relo

Java Solution Architect - Onsite @McLean, VA (Local Only) – No Relocation

Duration – Contract

Location – Onsite @McLean, VA (Local Only)

Overview

We are seeking a highly experienced Lead Back-End Solution Architect to design, architect, and oversee the development of scalable, high-performance backend solutions.

This role requires deep expertise in Java, Spring Boot, Python, PySpark, PostgreSQL, AWS, and MongoDB, along with strong architectural leadership to guide engineering teams and drive technical strategy across complex enterprise applications.

Key Responsibilities

• Define and lead the backend architecture roadmap for enterprise-grade systems.
• Design end-to-end solutions leveraging microservices, event-driven architectures, and cloud-native patterns.
• Provide architectural governance, best practices, and design patterns to engineering teams.
• Perform architecture reviews, code reviews, and ensure alignment with enterprise standards.
• Architect and build backend systems using Java and Spring Boot for scalable microservices.
• Develop data processing pipelines using Python and PySpark for high-volume data workloads.
• Design and optimize relational and NoSQL data models using PostgreSQL and MongoDB.
• Implement APIs (REST, GraphQL), integration layers, and backend workflows.
• Architect and deploy backend solutions on AWS using services such as Lambda, ECS/EKS, S3, EMR, Glue, SNS/SQS, and API Gateway.
• Ensure systems are built for observability, reliability, scalability, and cost efficiency.
• Collaborate with DevOps teams to implement CI/CD pipelines and infrastructure as code (Terraform/CloudFormation).

Cross-Functional Collaboration

• Partner with Product, Data Engineering, UI/UX, and QA teams to translate business requirements into technical solutions.
• Lead technical discussions, decision-making sessions, and architectural presentations with stakeholders.
• Mentor backend engineers and ensure continuous improvement across engineering teams.

Required Skills & Qualifications

Technical Skills

• Java & Spring Boot: Expert-level experience building microservices and backend frameworks.
• Python & PySpark: Strong hands-on experience in distributed computing, ETL workflows, and data pipelines.
• PostgreSQL: Deep knowledge of SQL, schema design, performance tuning.
• MongoDB: Experience with NoSQL architecture and document modeling.
• AWS Cloud: Strong proficiency with cloud-native architecture and key AWS services.
• Understanding of distributed systems, concurrency, caching strategies, message queues (Kafka/RabbitMQ), and API security.
• Experience with containerization (Docker, Kubernetes) is a strong advantage.
• Strong knowledge of microservices, domain-driven design (DDD), event-driven architecture, and data engineering patterns.
• Ability to create architecture artifacts (sequence diagrams, ER diagrams, HLD/LLD, workflows).

Soft Skills

• Excellent leadership, communication, and stakeholder management abilities.
• Ability to mentor and guide development teams with a solution-oriented mindset.
• Strong problem-solving skills and a passion for innovation.

Preferred Qualifications

• 10+ years of backend engineering experience, with at least 3–5 years in an architectural leadership role.
• Experience in financial services, healthcare, retail, or other large enterprise environments.
• Certification(s) in AWS or other cloud platforms (nice to have).

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting

Regards,

Sai Srikar

Email:

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